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        <title>Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types</title>
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    <name type="personal">
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    <abstract>We present a neural model for question generation from knowledge graphs triples in a “Zero-shot” setup, that is generating questions for predicate, subject types or object types that were not seen at training time. Our model leverages triples occurrences in the natural language corpus in a encoder-decoder architecture, paired with an original part-of-speech copy action mechanism to generate questions. Benchmark and human evaluation show that our model outperforms state-of-the-art on this task.</abstract>
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%0 Conference Proceedings
%T Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
%A Elsahar, Hady
%A Gravier, Christophe
%A Laforest, Frederique
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F elsahar-etal-2018-zero
%X We present a neural model for question generation from knowledge graphs triples in a “Zero-shot” setup, that is generating questions for predicate, subject types or object types that were not seen at training time. Our model leverages triples occurrences in the natural language corpus in a encoder-decoder architecture, paired with an original part-of-speech copy action mechanism to generate questions. Benchmark and human evaluation show that our model outperforms state-of-the-art on this task.
%R 10.18653/v1/N18-1020
%U https://aclanthology.org/N18-1020
%U https://doi.org/10.18653/v1/N18-1020
%P 218-228

Markdown (Informal)

[Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types](https://aclanthology.org/N18-1020) (Elsahar et al., NAACL 2018)

• Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types (Elsahar et al., NAACL 2018)

ACL

• Hady Elsahar, Christophe Gravier, and Frederique Laforest. 2018. Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 218–228, New Orleans, Louisiana. Association for Computational Linguistics.